Recent Developments for the Linguistic Linked Open Data Infrastructure

Thierry Declerck, John McCrae, Matthias Hartung, Jorge Gracia, Christian Chiarcos, Elena Montiel, Philipp Cimiano, Artem Revenko, Roser Sauri, Deirdre Lee, Stefania Racioppa, Jamal Nasir, Matthias Orlikowski, Marta Lanau-Coronas, Christian Fäth, Mariano Rico, Mohammad Fazleh Elahi, Maria Khvalchik, Meritxell Gonzalez, Katharine Cooney

In: Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Christopher Cieri, Khalid Choukri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis (editor). Proceedings of the Twelfth International Conference on Language Resources and Evaluation (LREC 2020). International Conference on Language Resources and Evaluation (LREC-2020) May 11-16 Marseille France Pages 5660-5667 ISBN 979-10-95546-34-4 ELRA Paris 5/2020.


In this paper we describe the contributions made by the European H2020 project “Prêt-à-LLOD” (‘Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors’) to the further development of the Linguistic Linked Open Data (LLOD) infrastructure. Prêt-à-LLOD aims to develop a new methodology for building data value chains applicable to a wide range of sectors and applications and based around language resources and language technologies that can be integrated by means of semantic technologies. We describe the methods implemented for increasing the number of language data sets in the LLOD. We also present the approach for ensuring interoperability and for porting LLOD data sets and services to other infrastructures, as well as the contribution of the projects to existing standards.


2020.lrec-1.695_LLOD.pdf (pdf, 609 KB )

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz